e> requests �→ in clusters with a large number of TiDB nodes and Regions, thereby �→ reducing the CPU pressure on the PD leader. Reliability and Availability 0 码力 | 6123 页 | 107.24 MB | 1 年前

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and TiDB CPU times in memory tables The CPU time is now integrated into a system table, displayed alongside �→ other metrics for sessions or SQL, letting you observe high CPU �→ consumption scenarios such as CPU spikes in instances or read/write hotspots in �→ clusters. Support �→ viewing aggregated TiKV CPU time by table database When hotspot issues are not caused by individual SQL statements, using �→ the aggregated CPU time by table or database level in Top SQL can �→ help you quickly identify the tables or applications

and TiDB CPU times in memory tables The CPU time is now integrated into a system table, displayed alongside �→ other metrics for sessions or SQL, letting you observe high CPU �→ consumption scenarios such as CPU spikes in instances or read/write hotspots in �→ clusters. Support �→ viewing aggregated TiKV CPU time by table database When hotspot issues are not caused by individual SQL statements, using �→ the aggregated CPU time by table or database level in Top SQL can �→ help you quickly identify the tables or applications

advantage of this �→ framework, v7.4 introduces global sorting to eliminate the �→ unnecessary I/O, CPU, and memory spikes caused by temporarily out-of- 36 �→ order data during data re-organization tasks Useful notes • Using connection pools to manage database connections can reduce the performance overhead caused by frequently establishing and destroying connections. • To avoid SQL injection, it is recommended Useful notes • Using connection pools to manage database connections can reduce the performance overhead caused by frequently establishing and destroying connections. • To avoid SQL injection attacks

ranks TiDB nodes based on various �→ dimensions, such as status, connection counts, health, memory, CPU, �→ and location. According to the load balancing policy specified in the �→ policy configuration connection count-based policies, TiProxy sup- ports dynamic load balancing based on health, memory, CPU, and location, improving the stability of the TiDB cluster. You can configure the combination and memory, CPU, location, and connection count. • location: the location priority policy performs load balancing based on the fol- lowing priority order: status, location, health, memory, CPU, and connection

is selected, improving the performance of the cluster. �→ Meanwhile, TiDB also reduces the system overhead and improves the �→ resource utilization. Reliability and Availability information of Ingest SST duration seconds is incorrect #17239 @LykxSassinator • Fix the issue that CPU profiling flag is not reset correctly when an error occurs #17234 @Connor1996 • Fix the issue that Useful notes • Using connection pools to manage database connections can reduce the performance overhead caused by frequently establishing and destroying connections. • To avoid SQL injection, it is recommended

e> requests �→ in clusters with a large number of TiDB nodes and Regions, thereby �→ reducing the CPU pressure on PD leaders. 0 码力 | 6479 页 | 108.61 MB | 9 月前

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e> requests �→ in clusters with a large number of TiDB nodes and Regions, thereby �→ reducing the CPU pressure on PD leaders. 0 码力 | 6321 页 | 107.46 MB | 1 年前

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engine for logs. Compared with RocksDB, Raft Engine can reduce TiKV I/O write traffic by up to 40% and CPU usage by 10%, while improving foreground throughput by about 5% and reducing tail latency by 20% under configuration items support modifying values dynamically: • raftstore.raft-entry-max-size • quota.foreground-cpu-time 81 • quota.foreground-write-bandwidth • quota.foreground-read-bandwidth • quota.max-delay-duration after the PD leader transfer #4769 • TiDB Dashboard • Fix a bug that Top SQL cannot collect the CPU overhead of the SQL statements that were running before the Top SQL feature is enabled #33859 84 • TiFlash

documentation. • TiFlash supports automatically choosing an MPP Join algorithm according to the overhead of network transmission #7084 @solotzg The TiFlash MPP mode supports multiple Join algorithms. _size �→ variable, which controls whether to choose the MPP Join algorithm based on the minimum overhead of network transmission. This variable is disabled by default, indicating that the default algorithm transmission by 38 different Join algorithms, and then chooses the algorithm with the smallest overhead overall, thus reducing network traffic and improving MPP query performance. For more information